Tran, Nghi Phu and Hoang, Dang Kien and Ngo, Quoc Dung and Nguyen, Dai Tho and Nguyen, Ngoc Binh (2019) A Novel Framework to Classify Malware in MIPS Architecture-based IoT Devices. Security and Communication Networks . ISSN 1939-0114 (In Press)
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Abstract
Malware on devices connected to the Internet via the Internet of Things (IoT) ) is evolving and is a core component of the fourth industrial revolution. IoT devices use the MIPS architecture with a large proportion running on embedded Linux operating systems, but the automatic analysis of IoT malware has not resolved. We proposed a framework to classify malware in IoT devices by using MIPS-based system behavior (system call - syscall) got from our F-Sandbox passive process and machine learning techniques. The F-Sandbox is a new type for IoT sandbox, automatically created from the real firmware of the specialized IoT devices, inheriting the specialized environment in the real firmware, therefore creating a diverse environment for sandboxing as an important characteristic of IoT sandbox. This framework classifies five families of IoT malware with F1-Weight = 97.44%.
| Item Type: | Article |
|---|---|
| Subjects: | Information Technology (IT) Scopus-indexed journals ISI-indexed journals |
| Divisions: | Faculty of Information Technology (FIT) |
| Depositing User: | Dr. Dai Tho Nguyen |
| Date Deposited: | 09 Dec 2019 09:15 |
| Last Modified: | 09 Dec 2019 09:15 |
| URI: | http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3757 |
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